This introductory course is designed for beginners and individuals with limited programming experience who want to embark on their software development or data science journey using Python. Throughout the course, learners will gain a solid understanding of algorithmic thinking, Python syntax, code testing, debugging techniques, and modular code development--essential skills for a successful career in software engineering, development, or data science.
Python Programming Fundamentals
Python Programming Fundamentals
Taught in English
Some content may not be translated
10,194 already enrolled
3.4
(17 reviews)
Beginner level
Recommended experience
Approx. 23 hours to complete
3 weeks at 7 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Utilize a Logical Seven Step framework to create algorithms and programs
Create useful test cases and efficiently debug Python code.
Master Python basics (conditionals, loops, mathematical operators, data types)
Develop a Python Program from scratch to solve a given data science problem.
Skills you'll gain
Details to know
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Assessments
12 quizzes
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There are 4 modules in this course
This week, you will learn best practices for developing code in any language by beginning with an algorithm: a stepwise approach to solving a problem. You’ll then apply the concepts by developing your own algorithms and properly identifying when to use specific data types in Python.
What's included
9 videos9 readings3 quizzes
This week, you will learn how to take the logical process of algorithm design and translate an algorithm into functional Python code. You will apply this by correctly identifying proper Python syntax for a given algorithm, and then subsequently by creating your own Python program for a given algorithm.
What's included
13 videos8 readings5 quizzes4 programming assignments
This week, you will learn different approaches to testing Python code, and methods for debugging code. You will apply this by conducting a code review, identifying opportunities to use asserts to debug code, and generating your own test cases.
What's included
6 videos8 readings3 quizzes
This week, you will learn how to filter and perform operations (logical and mathematical) across a given dataset, and how to create modular code that can be used in discrete pieces. You will apply this by writing your own functions to identify a list item with a given property, and writing a program to calculate a set of conclusions from a given dataset.
What's included
7 videos3 readings1 quiz4 programming assignments2 discussion prompts
Instructors
Instructor ratings
3.7 (7 ratings)
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3.4
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Reviewed on Oct 11, 2023
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Frequently asked questions
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